Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JENNER Samuel | 64 |
| 4 | NORDHAGEN Jørgen | 59 |
| 6 | GUERIN Alexis | 64 |
| 7 | CAPRON Rémi | 59 |
| 11 | DONNENWIRTH Tom | 63 |
| 13 | VAN NIEKERK Morné | 64 |
| 15 | BISIAUX Léo | 58 |
| 17 | EPIS Giosuè | 64 |
| 18 | ROULAND Louis | 55 |
| 19 | VAN HAUTEGEM Leander | 64 |
| 21 | ROLLAND Brieuc | 59 |
| 22 | GOMEZ Camilo Andres | 64.5 |